Improved Beetle Antennae Search Algorithm-Based Lévy Flight for Tuning of PID Controller in Force Control System
Open accessAbstract
To enhance the anti-interference capability of an electrohydraulic force servo control system and increase the efficiency of the PID controller, this paper proposes a LBAS-PID controller. In LBAS, the random step created by the Lévy flight trajectory was used in the original algorithm to enhance the diversity of the population and convergence speed. In the force servo control system, LBAS-PID can enhance the performance of the system. First, the basic mathematical model of an electrohydraulic force servo control system was built based on theoretical analysis. The transfer function model was obtained by identifying the system parameters. Second, the introduced Lévy flight beetle antennae search algorithm was introduced and applied to ten benchmark functions, and the results were compared with those of other algorithms. Then, the proposed algorithm was applied in the PID controller to tune PID parameters in the force servo control system. To comprehensively evaluate performances of an electrohydraulic force servo control system that is controlled by the LBAS-PID controller, the frequency response analysis and temporal response analysis were obtained. The numerical analysis results indicate that an electrohydraulic force servo control system with an LBAS-PID controller could substantially increase the control characteristics of the system and restrain the external disturbances when different interference signals are examined.
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Cited by
Sorted by citations
Ba, K., Wang, Y., He, X., Wang, C., Yu, B., Liu, Y., & Kong, X. (2024) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-023-00988-1 · Cited by 18 · see citing works
“However, in the practical application of robot systems, to ensure the stability of the body, algorithms of the core controller based on PID are still necessitated [23–25].”
Method
- Authors
- Fan, Y., Shao, J., Sun, G., & Shao, X.
- Affiliations
- Harbin University of Science and Technology (CN)
- Corresponding author
- Shao, Xuan
- Venue
- Mathematical Problems in Engineering
- Publisher
- Wiley
- Published
- 2020-03-24
- Volume
- 2020
- Pages
- 1-22
- ISSN
- 1024-123X (ISSN-L)
- 1563-5147
- OpenAlex
- W3013284298
- Cited by
- 18
- References
- 43
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 1
- FWCI
- 1.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Mathematical Problems in Engineering (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- International Cooperation Project (2012DFR70840)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Algorithms and Applications
- Keywords
- beetle antennae search algorithm, Lévy flight, PID controller tuning, metaheuristic optimization, population diversity, convergence rate, disturbance rejection, transfer function model, parameter estimation
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